Information Retrieval

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

33 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 33 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

93 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 93 until expanded.

Subtasks archive 2025-07-28

6 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 1,188 papers with code (4,740 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Modeling Relational Data with Graph Convolutional Networks
  17 Mar 2017 27 repositories listed Syntology ran 10 of 32 samples · 22 unverified · 15 pointer-only (licence)
  We demonstrate the effectiveness of R-GCNs as a stand-alone model for entity classification.
• TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
  23 Jan 2019 23 repositories listed Syntology ran 8 of 26 samples · 18 unverified · 7 pointer-only (licence)
  We introduce a new approach to generative data-driven dialogue systems (e.
• CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
  20 Sep 2019 14 repositories listed Syntology ran 8 of 17 samples · 9 unverified
  To enable evaluation of progress on code search, we are releasing the CodeSearchNet Corpus and are presenting the CodeSearchNet Challenge, which consists of 99 natural language queries with about 4k expert relevance…
• Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
  1 Jul 2018 10 repositories listed
  User response prediction is a crucial component for personalized information retrieval and filtering scenarios, such as recommender system and web search.
• Declarative Experimentation in Information Retrieval using PyTerrier
  28 Jul 2020 9 repositories listed
  The advent of deep machine learning platforms such as Tensorflow and Pytorch, developed in expressive high-level languages such as Python, have allowed more expressive representations of deep neural network…
• ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
  27 Apr 2020 9 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  ColBERT introduces a late interaction architecture that independently encodes the query and the document using BERT and then employs a cheap yet powerful interaction step that models their fine-grained similarity.
• Deep Learning based Recommender System: A Survey and New Perspectives
  24 Jul 2017 8 repositories listed
  This article aims to provide a comprehensive review of recent research efforts on deep learning based recommender systems.
• Deep Neural Networks for YouTube Recommendations
  7 Sep 2016 7 repositories listed
  YouTube represents one of the largest scale and most sophisticated industrial recommendation systems in existence.
• Unsupervised Dense Information Retrieval with Contrastive Learning
  16 Dec 2021 6 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  In this work, we explore the limits of contrastive learning as a way to train unsupervised dense retrievers and show that it leads to strong performance in various retrieval settings.
• Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
  2 Aug 2021 6 repositories listed
  Compared with previous DR models that use brute-force search, JPQ almost matches the best retrieval performance with 30x compression on index size.
• Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
  27 May 2021 6 repositories listed
  With the need of fast retrieval speed and small memory footprint, document hashing has been playing a crucial role in large-scale information retrieval.
• TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
  14 Apr 2021 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Learning sentence embeddings often requires a large amount of labeled data.
• Image-based table recognition: data, model, and evaluation
  25 Nov 2019 6 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  In addition, we propose a new Tree-Edit-Distance-based Similarity (TEDS) metric for table recognition, which more appropriately captures multi-hop cell misalignment and OCR errors than the pre-established metric.
• Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
  17 Apr 2019 6 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Industrial recommender systems usually consist of the matching stage and the ranking stage, in order to handle the billion-scale of users and items.
• Music Artist Classification with Convolutional Recurrent Neural Networks
  14 Jan 2019 6 repositories listed
  To this end, an established classification architecture, a Convolutional Recurrent Neural Network (CRNN), is applied to the artist20 music artist identification dataset under a comprehensive set of conditions.
• MTEB: Massive Text Embedding Benchmark
  13 Oct 2022 5 repositories listed Syntology ran 3 of 13 samples · 10 unverified
  MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages.
• Infinite Recommendation Networks: A Data-Centric Approach
  3 Jun 2022 5 repositories listed Syntology ran 6 of 13 samples · 7 unverified
  We leverage the Neural Tangent Kernel and its equivalence to training infinitely-wide neural networks to devise ∞-AE: an autoencoder with infinitely-wide bottleneck layers.
• Active learning in annotating micro-blogs dealing with e-reputation
  16 Jun 2017 5 repositories listed
  This paper intends to develop a so-called active learning process for automatically annotating French language tweets that deal with the image (i.
• RIRAG: Regulatory Information Retrieval and Answer Generation
  9 Sep 2024 4 repositories listed
  Regulatory documents, issued by governmental regulatory bodies, establish rules, guidelines, and standards that organizations must adhere to for legal compliance.
• Mustango: Toward Controllable Text-to-Music Generation
  14 Nov 2023 4 repositories listed Syntology ran 7 of 9 samples · 2 unverified
  Through extensive experiments, we show that the quality of the music generated by Mustango is state-of-the-art, and the controllability through music-specific text prompts greatly outperforms other models such as…
• One Embedder, Any Task: Instruction-Finetuned Text Embeddings
  19 Dec 2022 4 repositories listed Syntology ran 10 of 20 samples · 10 unverified
  Our analysis suggests that INSTRUCTOR is robust to changes in instructions, and that instruction finetuning mitigates the challenge of training a single model on diverse datasets.
• Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
  12 Oct 2021 4 repositories listed Syntology ran 5 of 22 samples · 17 unverified
  However, the efficiency of most existing DR models is limited by the large memory cost of storing dense vectors and the time-consuming nearest neighbor search (NNS) in vector space.
• Optimizing Dense Retrieval Model Training with Hard Negatives
  16 Apr 2021 4 repositories listed
  ADORE replaces the widely-adopted static hard negative sampling method with a dynamic one to directly optimize the ranking performance.
• Distilling Knowledge from Reader to Retriever for Question Answering
  8 Dec 2020 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  A challenge of using such methods is to obtain supervised data to train the retriever model, corresponding to pairs of query and support documents.
• CORD-19: The COVID-19 Open Research Dataset
  22 Apr 2020 4 repositories listed
  The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research.
• Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
  30 Oct 2018 4 repositories listed
  The standard approach to mitigate errors made by an automatic speech recognition system is to use confidence scores associated with each predicted word.
• Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
  4 Jun 2018 4 repositories listed
  Since the vocal component plays a crucial role in popular music, singing voice detection has been an active research topic in music information retrieval.
• Neural Vector Spaces for Unsupervised Information Retrieval
  9 Aug 2017 4 repositories listed
  We propose the Neural Vector Space Model (NVSM), a method that learns representations of documents in an unsupervised manner for news article retrieval.
• SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
  20 Dec 2016 4 repositories listed
  We present a feature vector formation technique for documents - Sparse Composite Document Vector (SCDV) - which overcomes several shortcomings of the current distributional paragraph vector representations that are…
• GloVe: Global Vectors for Word Representation
  1 Oct 2014 4 repositories listed

Syntology lines on 14 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.